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DSTrain is a 5-year postdoctoral programme launched and managed by the “dScience – Centre for Computational and Data Sciences” at the Faculty of Mathematics and Natural Sciences at the University of Oslo (UiO). It is partly funded by the EU Horizon Europe under the Marie Skłodowska-Curie Action (MSCA) – Co-funding of Regional, National and International Programmes (COFUND).
The DSTrain will award 36 postdoctoral fellowship positions within the overarching frame of data science, emphasizing interaction between data science, computational science, natural sciences, and technology. The fellowships will be of 36 months each, announced in two calls over the programme period. We now open for applications to the 1st cohort of 18 fellowship positions, that will start their postdoctoral projects autumn 2024 at UiO.
The Postdoctoral Research Fellows will be employed at the Faculty of Mathematics and Natural Sciences and hosted by the relevant department and research group.
Starting date no later than October 1, 2024.
The appointments is a fulltime position and is for a period of three years (10% of which is devoted to required duties, usually in the form of teaching activities).
No one can be appointed for more than one Postdoctoral Research Fellowship at the University of Oslo.
The Faculty of Mathematics and Natural Sciences
Knowledge development in a changing world – Science and technology towards 2030.
About the DSTrain postdoctoral programme
The DSTrain programme will facilitate ground-breaking research by emphasizing interaction between data science, computational science, natural sciences, and technology. The postdoctoral fellows will be integrated in research groups across scientific disciplines where there is an urgent need for computationally skilled researchers. The research groups provide excellent research environments and supervision enabling world-class research, innovation and digital infrastructure, models for interdisciplinary collaboration and training in research, including computational and transferable skills. The DSTrain program also includes a range of cross-sectorial secondments opportunities.
The target group of the program are highly talented aspiring researchers with backgrounds in Astrophysics, Biosciences, Chemistry, Geosciences, Informatics, Mathematics, Pharmacy, Physics, and Technology systems, who through the development of their individual-driven research projects will combine disciplinary expertise, with interdisciplinary elements, and integrating the use of computational methods.
The main purpose of a postdoctoral fellowship is to provide the candidates with enhanced skills to pursue a scientific top position within or beyond academia. To promote a strategic career path, all postdoctoral research fellows are required to submit a professional development plan no later than one month after commencement of the postdoctoral period.
It is expected that the successful candidate will be able to complete the project in the course of the period of employment.
More details are available at DSTrain website and further information about the Application process. Please consult these pages for general information on the programme and descriptions of all applicable research themes that will be offered as part of DSTrain.
More about the research themes
All projects will be based on interdisciplinary themes, and the use of computational methods will be essential. A key principle of the DSTrain programme is that novel and ground-breaking results are obtained when data science and natural sciences work in tandem. This principle must be clearly reflected in the project description.
Detailed descriptions of the available research themes, research groups and supervisors can be found at the DSTrain website sorted by the following areas: Astrophysics, Biosciences, Chemistry, Geosciences, Informatics, Mathematics, Pharmacy, Physics, and Technology systems.
The applicants are asked to formulate their own research projects within these themes. Note that each applicant can only submit one research project to the same call.
Qualification requirements:
The Faculty of Mathematics and Natural Sciences has a strategic ambition to be among Europe’s leading communities for research, education and innovation. Candidates for these fellowships will be selected in accordance with this, and expected to be in the upper segment of their class with respect to academic credentials.
Marie Skłodowska-Curie requirements:
To be considered eligible for review, applicants must fulfil the following MSCA eligibility criteria:
Desired qualifications:
Personal skills
We offer:
The application must include:
To be considered admissible, the applications must be:
The application with attachments must be delivered in our electronic recruiting system, please follow the link “apply for this job”. Foreign applicants are advised to attach an explanation of their University’s grading system. Please note that all documents should be in English (or a Scandinavian language).
In assessing the applications, special emphasis will be placed on the documented, academic qualifications, as well as the candidates motivation and personal suitability. Interviews with the best qualified candidates will be arranged.
Application deadline: 14th April 2024, closes at 23:59, Central European Time
Formal regulations:
Please see the guidelines and regulations for appointments to Postdoctoral fellowships at the University of Oslo.
If an applicant has applied for and been granted funding for a fulltime research stay abroad while being employed as a Postdoctoral Research Fellow, the employment will be prolonged with the equivalent time as the research stay, but for no longer than of twelve months ( thus extending the employment to a maximum of four years)
According to the Norwegian Freedom and Information Act (Offentleglova) information about the applicant may be included in the public applicant list, also in cases where the applicant has requested non-disclosure.
The University of Oslo has an agreement for all employees, aiming to secure rights to research results a.o.
Inclusion and diversity are a strength. The University of Oslo has a personnel policy objective of achieving a balanced gender composition. Furthermore, we want employees with diverse professional expertise, life experience and perspectives.
If there are qualified applicants with disabilities, employment gaps or immigrant background, we will invite at least one applicant from each of these categories to an interview.
Contact persons:
For further information please contact the DSTrain Project Management Office per e-mail:
contact-dstrain@mn.uio.no
For questions regarding the recruitment system, please contact HR Adviser Torunn Standal Guttormsen, e-mail: t.s.guttormsen@mn.uio.no
About the University of Oslo
The University of Oslo is Norway’s oldest and highest rated institution of research and education with 28 000 students and 7000 employees. Its broad range of academic disciplines and internationally esteemed research communities make UiO an important contributor to society.
The Faculty of Mathematics and Natural Sciences aims to be one of Europe’s leading centres for research, education and innovation by being a contender in the top echelons of research-intensive universities in Europe.
We also have a long and proud tradition of research and education in the classical science subjects as well as informatics.
The Faculty has several excellent research environments and researchers, many of who is cutting edge within their areas of specialization both nationally and internationally.
The Faculty continuously works to facilitate innovation derived from research.
Sustainability lays at the core of all activities at the Faculty and a continuous focus on sustainability will be on the agenda for the future.
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